{"id":"W6906286813","doi":"10.15468/dl.z4drvr","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001025713,0.002033832,0.001647139,0.004867299,0.001056876,0.002688113,0.002997809,0.002221347,0.1661711],"category_scores_gemma":[0.006254565,0.0009453862,0.001208385,0.009353204,0.0004583037,0.002537453,0.00261821,0.002132893,0.2233887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001544438,"about_ca_system_score_gemma":0.002340602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02001887,"about_ca_topic_score_gemma":0.03470739,"domain_scores_codex":[0.9989259,0.0001532847,0.0001338869,0.0003792995,0.0002343924,0.0001733271],"domain_scores_gemma":[0.9974521,0.0007487559,0.0002266204,0.000681402,0.0005978715,0.0002932177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002854892,0.00001150819,0.000338011,0.0005116865,0.00001406933,0.00001493602,0.00002209178,0.0001168157,0.0001054211,0.0003762068,0.9972007,0.001260038],"study_design_scores_gemma":[0.00007646428,0.000008076233,0.001733401,0.0001856234,0.00001377617,0.00003801256,0.00006944281,0.0001487303,0.0001771372,0.0008557842,0.9966748,0.00001889125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004104752,0.00002699788,0.00004849595,0.000037602,0.00001236565,0.000005532644,0.9987481,0.000411123,0.000668794],"genre_scores_gemma":[0.0001610352,0.00003128987,0.0002025295,0.00004675567,0.000003606944,0.00004349094,0.99889,0.0001571413,0.0004641887],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8338289,"threshold_uncertainty_score":0.5558978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}